Extends NumPy providing additional tools for array computing and provides specialized data structures

Provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations

It provides more utility functions for optimization, stats and signal processing

Built on top of Numpy with its high-performance array-computing features

Flexible data manipulation capabilities of spreadsheets and relational databases

Lambda and Kappa Architecture

Identity & Device Management

Data Warehouse vs Data Lake

Batch processing

SQL Databases

Operational metadata

Business metadata

Technological metadata

Technical metadata

Development metadata

Time consuming to

construct and

maintain

Poor at predicting rare

events

Clarity of the resulting models

Good precision in predicting 

Easily adapt to new probabilities

Continuous

Nominal

Discrete

Ordinal

Binary

The concepts describe the subject domains, list of entities, list of object properties, list of

data properties, synonyms

All of above

The ERM (entity-relation model) works based on a dictionary and a semantic graph of the

entity's presentation.

We can easy add a new entity, object property or data property without any changes in the

storage

The object properties can have some values by types like data property and like entity

concurrently